BigHat Biosciences

Research Scientist

• Identify, evaluate, and deploy the right models and sequence engineering methods within our weekly antibody design-build-test workcell.
• Develop and evaluate novel ML models or sequence optimization approaches to solve antibody engineering challenges relevant to BigHat’s therapeutics programs.
• Support model building, active learning, and drug development efforts for ongoing BigHat partnerships.
• Work with an interdisciplinary team of biologists, data scientists and machine learning scientists to gain sufficient domain familiarity to ensure your work is impactful.
• Work within, and contribute to, a production-grade codebase and associated ML Ops infrastructure to maintain high levels of automation for existing and new models.
• Document and present the results of your efforts to the relevant BigHat departments.

Machine Learning Research Fellowship, 12-18mo Fixed Term

Machine Learning Engineer

• Design and implement the next state-of-the-art generative models of antibody sequence and structure, and predictive models of antibody properties, trained on proprietary internal datasets of thousands to millions of antibodies.
• Identify opportunities for improvement in our ML tooling, and help to set strategy for ML research, driven by a strong high-level understanding of real-world drug development challenges
• Develop, refine, and deploy *de novo* design methods for generating initial hits to challenging, therapeutically interesting targets.
• Develop multi-modality, multi-objective iterative protein sequence optimization approaches to lab-in-the-loop antibody design problems for validation and deployment in our high-throughput wet lab - at BigHat success is only declared upon synthesis of real antibodies with drug-like properties.
• Maintain an in-depth understanding of the current state-of-the-art in ML-driven protein engineering, both in the literature and at BigHat.
• Share your findings at top-tier conferences and publish in leading scientific journals to advance the field of protein engineering.
• Provide technical guidance and mentorship to other ML and data science FTEs and interns.
• Provide ML expertise and support for ongoing therapeutics programs, directly contributing to the development of new drugs.
• Collaborate with our engineering team to ensure maximal efficiency in the automated deployment of our latest models to ongoing drug development programs.
• Work closely with an interdisciplinary team of drug developers, wet lab scientists, automation specialists, data scientists, etc. to identify inefficiencies or potential improvements in BigHat’s platform, and plan and prioritize ML methods development accordingly.

Machine Learning Research Fellowship, 12-18mo Fixed Term

Principal Machine Learning Scientist